algorithms used to identify frequent itemsets
There are different algorithms used to identify frequent itemsets in order to perform association rule mining such as Apriori, FP Growth and Mafia Algorithm. All algorithms have distinct advantage and disadvantages and need to be chosen given a specific data analysis problem.
- In your own words, explain the Apriori Algorithm and it’s approach.
- What are the possible advantages and disadvantages of Apriori Algorithm?
Your initial post should be at least 150 words. Once you have submitted your post
